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Sep 30, 2021 · In this paper, we design a detection and tracking combined network that can implement a global instance search for the tracked target. We ...
Sep 30, 2021 · In this paper, we design a detection and tracking combined network that can implement a global instance search for the tracked target.
Nov 21, 2024 · In this paper, we design a detection and tracking combined network that can implement a global instance search for the tracked target. We ...
Mar 13, 2020 · Using our proposed framework, high tracking frame rates and the ability of correcting and recovering the failed tracker can be combined ...
Jan 6, 2021 · This paper proposes a tracking algorithm combining the learning adaptive discriminative correlation filter tracker and re-detector.
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This page focuses on watching the state-of-the-art performance for the long-term tracking task (if you are interested in the short-term tracking task, ...
In computer vision, Siamese network-based visual object tracking algorithms employ a strategy of detecting the target in the vicinity of the previous ...
The reliability of re-detected objects is crucial for the detection model to retain its discriminative power in the long-term tracking, while existing long-term ...
May 1, 2019 · In this paper, we proposed a long term tracking algorithm by introducing a detector into the basic correlation filter based tracker framework.
We propose a target-tracking algorithm called CVTrack, which leverages a parallel dual-branch backbone network combining CNN and Transformer for feature ...